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Sales Forecasting with Oracle PBCS 

Key Performance Ideas is the nation’s leading implementer of Oracle Planning and Budgeting Cloud Service (PBCS), a flexible forecasting application that enables organizations of all sizes to quickly implement software for planning and budgeting with no infrastructure investments or hiring of new personnel. In fact, our experience with leading organizations across an array of industries has led us to develop functionality beyond Finance. We have created a Sales Forecasting solution that provides dynamic, driver-based visibility at the customer, geography, product and service line level.

Our Sales Forecasting solution can be customized to meet any industry need and currency conversion can be
 automated for global organizations. Plus, we can integrate the PBCS application with your Customer
 Relationship Management (CRM) application to provide the insights your sales and management need require.
 We offer a unique methodology for getting organizations up and running on a forecasting solution in a short
 period of time, and in an efficient manner. Plus, we combine the use of Cloud deployment with pre-built
 functionality and provide application and infrastructure managed services support from a team of cross trained,
 Oracle certified administrators. No other Oracle partner provides the end-to-end experience, rapid deployment,
 smart support, or flexible pricing options than KPI.

A Success Story

Diono, a Seattle-based manufacturer of car seats, convertible/boosters & travel accessories, struggled with an inability to consistently forecast sales at product and customer level and complete operational forecasting at the entity and cost center level.

After partnering with KPI, Diono implemented a sales plan via PBCS that provides detailed planning of revenue at the item level and customer level, pulling actual data from the SAP Accounts Receivable module. Users and analysts now have detailed, reliable information for improved planning by:

  • Unit forecasting by Item Level detail by Customer
  • Price forecasting by Item Level detail by Customer utilizing unique Pricing Tables
  • Analytics on Products and Customer

 

 

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6/25-29

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